Expression Quantitative Trait Methylation Analysis Identifies Whole Blood Molecular Footprint in Fetal Alcohol Spectrum Disorder (FASD)

5Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

Fetal alcohol spectrum disorder (FASD) encompasses neurodevelopmental disabilities and physical birth defects associated with prenatal alcohol exposure. Previously, we attempted to identify epigenetic biomarkers for FASD by investigating the genome-wide DNA methylation (DNAm) profiles of individuals with FASD compared to healthy controls. In this study, we generated additional gene expression profiles in a subset of our previous FASD cohort, encompassing the most severely affected individuals, to examine the functional integrative effects of altered DNAm status on gene expression. We identified six differentially methylated regions (annotated to the SEC61G, REEP3, ZNF577, HNRNPF, MSC, and SDHAF1 genes) associated with changes in gene expression (p-value < 0.05). To the best of our knowledge, this study is the first to assess whole blood gene expression and DNAm-gene expression associations in FASD. Our results present novel insights into the molecular footprint of FASD in whole blood and opens opportunities for future research into multi-omics biomarkers for the diagnosis of FASD.

References Powered by Scopus

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

55178Citations
N/AReaders
Get full text

The Sequence Alignment/Map format and SAMtools

41473Citations
N/AReaders
Get full text

STAR: Ultrafast universal RNA-seq aligner

30113Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Multi-Omics Data Analysis Identifies Prognostic Biomarkers across Cancers

7Citations
N/AReaders
Get full text

Genetic associations with dementia-related proteinopathy: Application of item response theory

1Citations
N/AReaders
Get full text

DNA methylation and mRNA expression of ZNF577 as biomarkers for the detection and prognosis of lung adenocarcinoma

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Krzyzewska, I. M., Lauffer, P., Mul, A. N., van der Laan, L., Yim, A. Y. F. L., Cobben, J. M., … Henneman, P. (2023). Expression Quantitative Trait Methylation Analysis Identifies Whole Blood Molecular Footprint in Fetal Alcohol Spectrum Disorder (FASD). International Journal of Molecular Sciences, 24(7). https://doi.org/10.3390/ijms24076601

Readers' Seniority

Tooltip

Professor / Associate Prof. 1

33%

PhD / Post grad / Masters / Doc 1

33%

Researcher 1

33%

Readers' Discipline

Tooltip

Medicine and Dentistry 2

40%

Agricultural and Biological Sciences 1

20%

Immunology and Microbiology 1

20%

Neuroscience 1

20%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free